{"ID":2867568,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.17490","arxiv_id":"2509.17490","title":"FUN-SSL: Full-band Layer Followed by U-Net with Narrow-band Layers for Multiple Moving Sound Source Localization","abstract":"Dual-path processing along the temporal and spectral dimensions has shown to be effective in various speech processing applications. While the sound source localization (SSL) models utilizing dual-path processing such as the FN-SSL and IPDnet demonstrated impressive performances in localizing multiple moving sources, they require significant amount of computation. In this paper, we propose an architecture for SSL which introduces a U-Net to perform narrow-band processing in multiple resolutions to reduce computational complexity. The proposed model replaces the full-narrow network block in the IPDnet consisting of one full-band LSTM layer along the spectral dimension followed by one narrow-band LSTM layer along the temporal dimension with the FUN block composed of one Full-band layer followed by a U-net with Narrow-band layers in multiple scales. On top of the skip connections within each U-Net, we also introduce the skip connections between FUN blocks to enrich information. Experimental results showed that the proposed FUN-SSL outperformed previously proposed approaches with computational complexity much lower than that of the IPDnet.","short_abstract":"Dual-path processing along the temporal and spectral dimensions has shown to be effective in various speech processing applications. While the sound source localization (SSL) models utilizing dual-path processing such as the FN-SSL and IPDnet demonstrated impressive performances in localizing multiple moving sources, t...","url_abs":"https://arxiv.org/abs/2509.17490","url_pdf":"https://arxiv.org/pdf/2509.17490v2","authors":"[\"Yuseon Choi\",\"Hyeonseung Kim\",\"Jewoo Jun\",\"Jong Won Shin\"]","published":"2025-09-22T08:19:16Z","proceeding":"eess.AS","tasks":"[\"eess.AS\",\"eess.SP\"]","methods":"[]","has_code":false}